A bibliometric analysis of the landslide susceptibility research (1999–2021)
LL Liu, J Zhang, JZ Li, F Huang, LC Wang - Geocarto International, 2022 - Taylor & Francis
Landslide susceptibility assessment (LSA) is a significant part of landslide research, which
plays an important role in preventing landslide disasters. It has gained an increasing …
plays an important role in preventing landslide disasters. It has gained an increasing …
[HTML][HTML] Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
As threats of landslide hazards have become gradually more severe in recent decades,
studies on landslide prevention and mitigation have attracted widespread attention in …
studies on landslide prevention and mitigation have attracted widespread attention in …
Landslide susceptibility map** using different GIS-based bivariate models
Landslides are the most frequent phenomenon in the northern part of Iran, which cause
considerable financial and life damages every year. One of the most widely used …
considerable financial and life damages every year. One of the most widely used …
Recent advancements of landslide hydrology
Occurrence of rainfall‐induced landslides is increasing worldwide, owing to land use and
climate changes. Although the connection between hydrology and rainfall‐induced …
climate changes. Although the connection between hydrology and rainfall‐induced …
[HTML][HTML] Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling–Benefits of exploring landslide data collection effects
Data-driven landslide susceptibility models formally integrate spatial landslide information
with explanatory environmental variables that describe predisposing factors of slope …
with explanatory environmental variables that describe predisposing factors of slope …
Space–time landslide susceptibility modeling based on data-driven methods
Delineating spatiotemporal variations in landslide susceptibility patterns is crucial for
landslide prevention and management. In this study, we present a space–time modeling …
landslide prevention and management. In this study, we present a space–time modeling …
Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards
GM Ramos Filho, VHR Coelho, E da Silva Freitas… - Atmospheric …, 2022 - Elsevier
Gridded satellite-based rainfall products have not been so far evaluated for flood hazards
monitoring through empirical methods, especially over large areas. Therefore, the main aims …
monitoring through empirical methods, especially over large areas. Therefore, the main aims …
Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale
A combined method was developed to forecast the spatial and the temporal probability of
occurrence of rainfall-induced shallow landslides over large areas. The method also …
occurrence of rainfall-induced shallow landslides over large areas. The method also …
A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series
Slow-moving landslides move downslope at velocities that range from mm year− 1 to m
year− 1. Such deformations can be measured using satellite-based synthetic aperture radar …
year− 1. Such deformations can be measured using satellite-based synthetic aperture radar …
Application of a GIS-based slope unit method for landslide susceptibility map** in Helong City: comparative assessment of ICM, AHP, and RF model
C Yu, J Chen - Symmetry, 2020 - mdpi.com
Landslides are one of the most extensive geological disasters in the world. The objective of
this study was to assess the performances of different landslide susceptibility models …
this study was to assess the performances of different landslide susceptibility models …